Mr Attai Abubakar
- Demonstrator (School of Engineering)
email:
Attai.Abubakar@glasgow.ac.uk
RM 462, James Watt South Building, Univerisity of Glasgow, University avenue, Glasgow, G12 8QQ
https://orcid.org/0000-0002-3288-4950Publications
2022
Ozturk, M., Abubakar, A. I. , Rais, R. N. B., Jaber, M., Hussain, S. and Imran, M. A. (2022) Context-aware wireless connectivity and processing unit optimization for IoT networks. IEEE Internet of Things Journal, 9(17), pp. 16028-16043. (doi: 10.1109/JIOT.2022.3152381)
Abubakar, A. I. , Mollel, M. S. , Öztürk, M., Hussain, S. and Imran, M. A. (2022) A lightweight cell switching and traffic offloading scheme for energy optimization in ultra-dense heterogeneous networks. Physical Communication, 52, 101643. (doi: 10.1016/j.phycom.2022.101643)
Abubakar, A. I. , Ozturk, C., Ozturk, M., Mollel, M. S. , Asad, S. M., Ul Hassan, N., Hussain, S. and Imran, M. A. (2022) Revenue maximization through cell switching and spectrum leasing in 5G HetNets. IEEE Access, 10, pp. 48301-48317. (doi: 10.1109/ACCESS.2022.3172280)
2021
Asad, S. M., Tahir, A., Bin Rais, R. N., Ansari, S. , Abubakar, A. I. , Hussain, S. , Abbasi, Q. H. and Imran, M. A. (2021) Edge intelligence in private mobile networks for next generation railway systems. Frontiers in Communications and Networks, 2, 769299. (doi: 10.3389/frcmn.2021.769299)
Ozturk, M., Abubakar, A. I. , Battistella Nadas, J. P., Rais, R. N. B., Hussain, S. and Imran, M. A. (2021) Energy optimization in ultra-dense radio access networks via traffic-aware cell switching. IEEE Transactions on Green Communications and Networking, 5(2), pp. 832-845. (doi: 10.1109/TGCN.2021.3056235)
Mollel, M. S. , Abubakar, A. I. , Öztürk, M., Kaijage, S., Kisangiri, M., Hussain, S. , Imran, M. A. and Abbasi, Q. H. (2021) A survey of machine learning applications to handover management in 5G and beyond. IEEE Access, 9, 45770 -45802. (doi: 10.1109/ACCESS.2021.3067503)
2020
Abubakar, A. I. , Omeke, K. G., Öztürk, M., Hussain, S. and Imran, M. A. (2020) The role of artificial intelligence driven 5G networks in COVID-19 outbreak: opportunities, challenges, and future outlook. Frontiers in Communications and Networks, 1, 575065. (doi: 10.3389/frcmn.2020.575065)
Mollel, M. S. , Abubakar, A. I. , Ozturk, M., Kaijage, S., Kisangiri, M., Zoha, A. , Imran, M. A. and Abbasi, Q. H. (2020) Intelligent handover decision scheme using double deep reinforcement learning. Physical Communication, 42, 101133. (doi: 10.1016/j.phycom.2020.101133)
Abubakar, A. I. , Öztürk, M., Rais, R. N. B., Hussain, S. and Imran, M. A. (2020) Load-Aware Cell Switching in Ultra-Dense Networks: An Artificial Neural Network Approach. In: 5th International Conference on UK - China Emerging Technologies (UCET 2020), Glasgow, UK, 20-21 Aug 2020, ISBN 9781728194882 (doi: 10.1109/UCET51115.2020.9205365)
Imran, M. A. , Ozturk, M., Abubakar, A. I. , Klaine, P. V. , Hussain, S. and Abbasi, Q. H. (2020) Mobility prediction based resource management. In: Tafazolli, R., Wang, C.-L. and Chatzimisios, P. (eds.) Wiley 5G REF: the Essential 5G Reference Online. John Wiley & sons Ltd. ISBN 9781119471509 (doi: 10.1002/9781119471509.w5GRef228)
2019
Abubakar, A. , Ozturk, M., Hussain, S. and Imran, M. (2019) Q-learning Assisted Energy-Aware Traffic Offloading and Cell Switching in Heterogeneous Networks. In: 2019 IEEE 24th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD), Limassol, Cyprus, 11-13 Sep 2019, ISBN 9781728110165 (doi: 10.1109/CAMAD.2019.8858474)
Ozturk, M., Abubakar, A. I. , Hassan, N. U., Hussain, S. , Imran, M. A. and Yuen, C. (2019) Spectrum Cost Optimization for Cognitive Radio Transmission over TV White Spaces Using Artificial Neural Networks. In: 4th International Conference on UK - China Emerging Technologies (UCET 2019), Glasgow, UK, 21-22 Aug 2019, ISBN 9781728127972 (doi: 10.1109/UCET.2019.8881893)
Articles
Ozturk, M., Abubakar, A. I. , Rais, R. N. B., Jaber, M., Hussain, S. and Imran, M. A. (2022) Context-aware wireless connectivity and processing unit optimization for IoT networks. IEEE Internet of Things Journal, 9(17), pp. 16028-16043. (doi: 10.1109/JIOT.2022.3152381)
Abubakar, A. I. , Mollel, M. S. , Öztürk, M., Hussain, S. and Imran, M. A. (2022) A lightweight cell switching and traffic offloading scheme for energy optimization in ultra-dense heterogeneous networks. Physical Communication, 52, 101643. (doi: 10.1016/j.phycom.2022.101643)
Abubakar, A. I. , Ozturk, C., Ozturk, M., Mollel, M. S. , Asad, S. M., Ul Hassan, N., Hussain, S. and Imran, M. A. (2022) Revenue maximization through cell switching and spectrum leasing in 5G HetNets. IEEE Access, 10, pp. 48301-48317. (doi: 10.1109/ACCESS.2022.3172280)
Asad, S. M., Tahir, A., Bin Rais, R. N., Ansari, S. , Abubakar, A. I. , Hussain, S. , Abbasi, Q. H. and Imran, M. A. (2021) Edge intelligence in private mobile networks for next generation railway systems. Frontiers in Communications and Networks, 2, 769299. (doi: 10.3389/frcmn.2021.769299)
Ozturk, M., Abubakar, A. I. , Battistella Nadas, J. P., Rais, R. N. B., Hussain, S. and Imran, M. A. (2021) Energy optimization in ultra-dense radio access networks via traffic-aware cell switching. IEEE Transactions on Green Communications and Networking, 5(2), pp. 832-845. (doi: 10.1109/TGCN.2021.3056235)
Mollel, M. S. , Abubakar, A. I. , Öztürk, M., Kaijage, S., Kisangiri, M., Hussain, S. , Imran, M. A. and Abbasi, Q. H. (2021) A survey of machine learning applications to handover management in 5G and beyond. IEEE Access, 9, 45770 -45802. (doi: 10.1109/ACCESS.2021.3067503)
Abubakar, A. I. , Omeke, K. G., Öztürk, M., Hussain, S. and Imran, M. A. (2020) The role of artificial intelligence driven 5G networks in COVID-19 outbreak: opportunities, challenges, and future outlook. Frontiers in Communications and Networks, 1, 575065. (doi: 10.3389/frcmn.2020.575065)
Mollel, M. S. , Abubakar, A. I. , Ozturk, M., Kaijage, S., Kisangiri, M., Zoha, A. , Imran, M. A. and Abbasi, Q. H. (2020) Intelligent handover decision scheme using double deep reinforcement learning. Physical Communication, 42, 101133. (doi: 10.1016/j.phycom.2020.101133)
Book Sections
Imran, M. A. , Ozturk, M., Abubakar, A. I. , Klaine, P. V. , Hussain, S. and Abbasi, Q. H. (2020) Mobility prediction based resource management. In: Tafazolli, R., Wang, C.-L. and Chatzimisios, P. (eds.) Wiley 5G REF: the Essential 5G Reference Online. John Wiley & sons Ltd. ISBN 9781119471509 (doi: 10.1002/9781119471509.w5GRef228)
Conference Proceedings
Abubakar, A. I. , Öztürk, M., Rais, R. N. B., Hussain, S. and Imran, M. A. (2020) Load-Aware Cell Switching in Ultra-Dense Networks: An Artificial Neural Network Approach. In: 5th International Conference on UK - China Emerging Technologies (UCET 2020), Glasgow, UK, 20-21 Aug 2020, ISBN 9781728194882 (doi: 10.1109/UCET51115.2020.9205365)
Abubakar, A. , Ozturk, M., Hussain, S. and Imran, M. (2019) Q-learning Assisted Energy-Aware Traffic Offloading and Cell Switching in Heterogeneous Networks. In: 2019 IEEE 24th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD), Limassol, Cyprus, 11-13 Sep 2019, ISBN 9781728110165 (doi: 10.1109/CAMAD.2019.8858474)
Ozturk, M., Abubakar, A. I. , Hassan, N. U., Hussain, S. , Imran, M. A. and Yuen, C. (2019) Spectrum Cost Optimization for Cognitive Radio Transmission over TV White Spaces Using Artificial Neural Networks. In: 4th International Conference on UK - China Emerging Technologies (UCET 2019), Glasgow, UK, 21-22 Aug 2019, ISBN 9781728127972 (doi: 10.1109/UCET.2019.8881893)